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Commit 9ebb8e47 by Vik Paruchuri
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Remove some old code

parent d9b47a73
Showing with 1 additions and 4 deletions
grade.py
...@@ -24,10 +24,8 @@ import sklearn.ensemble ...@@ -24,10 +24,8 @@ import sklearn.ensemble
log = logging.getLogger(__name__) log = logging.getLogger(__name__)
TEMPORARY_WANTS_CONFIG=True
@statsd.timed('open_ended_assessment.machine_learning.grader.time') @statsd.timed('open_ended_assessment.machine_learning.grader.time')
def grade(grader_data,grader_config,submission,sandbox=None): def grade(grader_data,grader_config,submission):
results = {'errors': [],'tests': [],'score': 0, 'feedback' : "", 'success' : False, 'confidence' : 0} results = {'errors': [],'tests': [],'score': 0, 'feedback' : "", 'success' : False, 'confidence' : 0}
...@@ -57,7 +55,6 @@ def grade(grader_data,grader_config,submission,sandbox=None): ...@@ -57,7 +55,6 @@ def grade(grader_data,grader_config,submission,sandbox=None):
#Try to determine confidence level #Try to determine confidence level
try: try:
min_score=min(numpy.asarray(grader_data['score'])) min_score=min(numpy.asarray(grader_data['score']))
log.debug(grader_data['score'])
raw_confidence=grader_data['model'].predict_proba(grader_feats)[0,(results['score']-min_score)] raw_confidence=grader_data['model'].predict_proba(grader_feats)[0,(results['score']-min_score)]
#TODO: Normalize confidence somehow here #TODO: Normalize confidence somehow here
results['confidence']=raw_confidence results['confidence']=raw_confidence
......
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